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    3
  • Rank 3,963,521 (Top 79 %)
  • Language
    Python
  • Created about 3 years ago
  • Updated almost 3 years ago

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Repository Details

We proposed a new approach to detect anomalies of mobile robot data. We investigate each data seperately with two clustering method hierarchical and k-means. There are two sub-method that we used for produce an anomaly score. Then, we merge these two score and produce merged anomaly score as a result.

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